We present a cost-effective method to perform image-space wave-equation tomography using image-space phase-encoded shot gathers. One important advantage is that we are able to synthesize a much smaller data set while still keeping necessary velocity information for migration velocity analysis; hence the computational cost of performing image-space wave-equation tomography can be significantly reduced. Our results show that using the image-space phase-encoded wavefields in the image-space wave-equation tomography problem can provide reliable optimized slowness model, given that crosstalk is sufficiently attenuated.
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